Methodology to support the planning of sewage treatment systems within river basins
Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal re...
Ausführliche Beschreibung
Autor*in: |
de Almeida, K. N. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Anmerkung: |
© Islamic Azad University (IAU) 2021 |
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Übergeordnetes Werk: |
Enthalten in: International journal of environmental science and technology - Tehran : Islamic Azad University, 2004, 19(2021), 5 vom: 19. Mai, Seite 3741-3756 |
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Übergeordnetes Werk: |
volume:19 ; year:2021 ; number:5 ; day:19 ; month:05 ; pages:3741-3756 |
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DOI / URN: |
10.1007/s13762-021-03387-y |
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Katalog-ID: |
SPR046796002 |
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520 | |a Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. | ||
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650 | 4 | |a Sewage treatment |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Mendonça, A. S. F. |4 aut | |
700 | 1 | |a Silva, F. G. B. |4 aut | |
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10.1007/s13762-021-03387-y doi (DE-627)SPR046796002 (SPR)s13762-021-03387-y-e DE-627 ger DE-627 rakwb eng de Almeida, K. N. verfasserin (orcid)0000-0001-5076-4218 aut Methodology to support the planning of sewage treatment systems within river basins 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Islamic Azad University (IAU) 2021 Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. Multicriteria analysis (dpeaa)DE-He213 Water quality modeling (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Sewage treatment (dpeaa)DE-He213 dos Reis, J. A. T. aut Mendonça, A. S. F. aut Silva, F. G. B. aut Enthalten in International journal of environmental science and technology Tehran : Islamic Azad University, 2004 19(2021), 5 vom: 19. Mai, Seite 3741-3756 (DE-627)510463398 (DE-600)2230399-6 1735-2630 nnns volume:19 year:2021 number:5 day:19 month:05 pages:3741-3756 https://dx.doi.org/10.1007/s13762-021-03387-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 5 19 05 3741-3756 |
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10.1007/s13762-021-03387-y doi (DE-627)SPR046796002 (SPR)s13762-021-03387-y-e DE-627 ger DE-627 rakwb eng de Almeida, K. N. verfasserin (orcid)0000-0001-5076-4218 aut Methodology to support the planning of sewage treatment systems within river basins 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Islamic Azad University (IAU) 2021 Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. Multicriteria analysis (dpeaa)DE-He213 Water quality modeling (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Sewage treatment (dpeaa)DE-He213 dos Reis, J. A. T. aut Mendonça, A. S. F. aut Silva, F. G. B. aut Enthalten in International journal of environmental science and technology Tehran : Islamic Azad University, 2004 19(2021), 5 vom: 19. Mai, Seite 3741-3756 (DE-627)510463398 (DE-600)2230399-6 1735-2630 nnns volume:19 year:2021 number:5 day:19 month:05 pages:3741-3756 https://dx.doi.org/10.1007/s13762-021-03387-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 5 19 05 3741-3756 |
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10.1007/s13762-021-03387-y doi (DE-627)SPR046796002 (SPR)s13762-021-03387-y-e DE-627 ger DE-627 rakwb eng de Almeida, K. N. verfasserin (orcid)0000-0001-5076-4218 aut Methodology to support the planning of sewage treatment systems within river basins 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Islamic Azad University (IAU) 2021 Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. Multicriteria analysis (dpeaa)DE-He213 Water quality modeling (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Sewage treatment (dpeaa)DE-He213 dos Reis, J. A. T. aut Mendonça, A. S. F. aut Silva, F. G. B. aut Enthalten in International journal of environmental science and technology Tehran : Islamic Azad University, 2004 19(2021), 5 vom: 19. Mai, Seite 3741-3756 (DE-627)510463398 (DE-600)2230399-6 1735-2630 nnns volume:19 year:2021 number:5 day:19 month:05 pages:3741-3756 https://dx.doi.org/10.1007/s13762-021-03387-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 5 19 05 3741-3756 |
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10.1007/s13762-021-03387-y doi (DE-627)SPR046796002 (SPR)s13762-021-03387-y-e DE-627 ger DE-627 rakwb eng de Almeida, K. N. verfasserin (orcid)0000-0001-5076-4218 aut Methodology to support the planning of sewage treatment systems within river basins 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Islamic Azad University (IAU) 2021 Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. Multicriteria analysis (dpeaa)DE-He213 Water quality modeling (dpeaa)DE-He213 Optimization (dpeaa)DE-He213 Sewage treatment (dpeaa)DE-He213 dos Reis, J. A. T. aut Mendonça, A. S. F. aut Silva, F. G. B. aut Enthalten in International journal of environmental science and technology Tehran : Islamic Azad University, 2004 19(2021), 5 vom: 19. Mai, Seite 3741-3756 (DE-627)510463398 (DE-600)2230399-6 1735-2630 nnns volume:19 year:2021 number:5 day:19 month:05 pages:3741-3756 https://dx.doi.org/10.1007/s13762-021-03387-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 5 19 05 3741-3756 |
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de Almeida, K. N. |
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de Almeida, K. N. misc Multicriteria analysis misc Water quality modeling misc Optimization misc Sewage treatment Methodology to support the planning of sewage treatment systems within river basins |
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Methodology to support the planning of sewage treatment systems within river basins |
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de Almeida, K. N. |
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International journal of environmental science and technology |
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methodology to support the planning of sewage treatment systems within river basins |
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Methodology to support the planning of sewage treatment systems within river basins |
abstract |
Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. © Islamic Azad University (IAU) 2021 |
abstractGer |
Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. © Islamic Azad University (IAU) 2021 |
abstract_unstemmed |
Abstract Selection of sewage treatment systems for protecting water resources within a watershed is a complex problem. It involves environmental, technological, operational and social aspects joint analysis associated with the treatment systems, in addition to raw or treated sewage final disposal receiving watercourses support capacities assessments. The present work proposes a methodology that could help the sewage treatment systems selection process through the combined application of water quality mathematical model, metaheuristic optimization technique (genetic algorithm) and multicriteria analysis method (theory of multi-attribute utility). The study area is the hydrographic basin Benevente River, an important watercourse located in the Espírito Santo state South region, in Brazil. Minimum efficiencies for removing organic matter and nutrients were considered in the sewage treatment systems pre-selection. For the most populous districts, such as Jabaquara, Alfredo Chaves and Alto Pongal, the ordering process, supported by multicriterial analysis, led to the selection of mechanized technologies—activated sludge processes. For all other locations, stabilization pond systems were selected. The methodology described in this work can be generally applied to the planning of wastewater treatment and final disposal in watersheds and subsidize effluents discharge and dilution in watercourses environmental licensing and granting processes. © Islamic Azad University (IAU) 2021 |
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title_short |
Methodology to support the planning of sewage treatment systems within river basins |
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https://dx.doi.org/10.1007/s13762-021-03387-y |
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dos Reis, J. A. T. Mendonça, A. S. F. Silva, F. G. B. |
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dos Reis, J. A. T. Mendonça, A. S. F. Silva, F. G. B. |
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doi_str |
10.1007/s13762-021-03387-y |
up_date |
2024-07-04T00:27:06.709Z |
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